乐胖代购免代理版

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The selection of appropriate shape and size of the matching window is a difficult problem for correlation\u2010based algorithms. In the proposed approach, two correlation windows are used to improve the performance of the algorithm while maintaining its real\u2010time suitability. The CPU implementation of the proposed algorithm computes more than 10 frame\/s. Unlike other area\u2010based stereo matching algorithms, this method works very well at disparity boundaries as well as in low textured image areas and computes a dense and sharp disparity map. Evaluations on the benchmark Middlebury stereo datasets have been performed to demonstrate the qualitative and quantitative performance of the proposed algorithm.<\/jats:p>","DOI":"10.1049\/iet-cvi.2011.0077","type":"journal-article","created":{"date-parts":[[2013,5,17]],"date-time":"2013-05-17T15:02:31Z","timestamp":1368802951000},"page":"123-134","source":"Crossref","is-referenced-by-count":24,"title":["Window\u2010based approach for fast stereo correspondence"],"prefix":"10.1049","volume":"7","author":[{"given":"Raj Kumar","family":"Gupta","sequence":"first","affiliation":[{"name":"Forensics and Security Laboratory School of Computer Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639 798 Singapore"}]},{"given":"Siu\u2010Yeung","family":"Cho","sequence":"additional","affiliation":[{"name":"Forensics and Security Laboratory School of Computer Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639 798 Singapore"}]}],"member":"265","published-online":{"date-parts":[[2013,4]]},"reference":[{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014573219977"},{"key":"e_1_2_6_3_2","unstructured":"Faugeras O. 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